Senior Data Engineer

About This Opportunity

We are representing a confidential technology client seeking a Senior Data Engineer to join their embedded data engineering organization. This role sits at the intersection of data engineering and commercial operations, where you'll collaborate with cross-functional teams to design and curate datasets from internal and third-party sources. You'll help build a more cohesive data warehouse while establishing data best practices throughout the software development lifecycle.

Responsibilities

• Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams
• Design, architect, and maintain core operations datasets, data marts, and feature stores that support both mature products and rapidly evolving features, in partnership with analytics, data science, and machine learning teams
• Integrate deeply with cross-functional partners to understand their data needs and help design datasets with strong engineering rigor
• Drive data quality and best practices across different business areas
• Help build next-generation data products, leveraging AI models for code generation and incorporating agents into workflows
• Work with terabytes of data to clean, organize, and measure performance across multiple business units

What We're Looking For

• 4+ years of experience designing and building datasets and data warehouses
• Excellent ability to understand stakeholder needs and collaborate with other functions, especially Analytics, while identifying opportunities for process improvements across teams
• Expertise in SQL for analytics, reporting, and business intelligence, as well as for building SQL- and Python-based transforms inside ETL pipelines
• Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitch together data from production databases, clickstream data, and external APIs to serve multiple stakeholders
• Expertise building with a modern data stack based on a cloud-native data warehouse (BigQuery, dbt, and Apache Airflow preferred, but similar stack is acceptable)
• Experience using AI to generate design plans, code, and documentation, as well as applying AI-enabled workflows to accelerate development velocity and improve data engineering practices
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance

How We Work With You

As a specialized recruiting partner, our talent team at Get A Job.ai manages the full candidate experience for this confidential search. When you apply through our platform, one of our recruiters will conduct an initial screening to understand your background and assess fit. We then submit qualified candidates directly to our client for consideration. Please do not attempt to contact the hiring company directly, as all communications flow through Get A Job.ai to ensure a professional and organized process for everyone involved.

Pay

Compensation for this role varies by location:

• San Francisco/Bay Area, San Jose, New York City, or Seattle: $210,800 - $272,800
• Austin, Washington DC, California, Massachusetts, New Jersey, or Washington state: $189,600 - $245,300
• All other US locations: $179,400 - $232,100

Actual offered salaries will be based on qualifications, skills, competencies, and proficiency for the role.

Equal Opportunity

Get A Job.ai is committed to creating a diverse and inclusive recruiting process. We work with clients who share our values of equal opportunity employment and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by law.